article

Veiling glare in high dynamic range imaging

Authors:

Eino-Ville Talvala,

Marc LevoyAuthors Info & Claims

ACM Transactions on Graphics (TOG), Volume 26, Issue 3

Pages 37 - es

https://doi.org/10.1145/1276377.1276424

Published: 29 July 2007 Publication History

Abstract

The ability of a camera to record a high dynamic range image, whether by taking one snapshot or a sequence, is limited by the presence of veiling glare - the tendency of bright objects in the scene to reduce the contrast everywhere within the field of view. Veiling glare is a global illumination effect that arises from multiple scattering of light inside the camera's body and lens optics. By measuring separately the direct and indirect components of the intra-camera light transport, one can increase the maximum dynamic range a particular camera is capable of recording. In this paper, we quantify the presence of veiling glare and related optical artifacts for several types of digital cameras, and we describe two methods for removing them: deconvolution by a measured glare spread function, and a novel direct-indirect separation of the lens transport using a structured occlusion mask. In the second method, we selectively block the light that contributes to veiling glare, thereby attaining significantly higher signal-to-noise ratios than with deconvolution. Finally, we demonstrate our separation method for several combinations of cameras and realistic scenes.

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Cited By

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Published In

cover image ACM Transactions on Graphics

ACM Transactions on Graphics Volume 26, Issue 3

July 2007

976 pages

ISSN:0730-0301

EISSN:1557-7368

DOI:10.1145/1276377

Issue’s Table of Contents

Copyright © 2007 ACM.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 29 July 2007

Published in TOG Volume 26, Issue 3

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Cited By

Skorka OMlinar MIspasoiu R(2025)Dual-Band Imaging With an Integrated CMOS Image Sensor—Liquid Crystal Shutter DeviceIEEE Sensors Journal10.1109/JSEN.2024.352052325:4(6250-6260)Online publication date: 15-Feb-2025
https://doi.org/10.1109/JSEN.2024.3520523
Qi KWang BLiu Y(2025)A self-prompt based dual-domain network for nighttime flare removalEngineering Applications of Artificial Intelligence10.1016/j.engappai.2025.110103144(110103)Online publication date: Mar-2025
https://doi.org/10.1016/j.engappai.2025.110103
Yu QZheng NHuang JZhao F(2025)Cleanness-navigated-contamination network: A unified framework for recovering regional degradationComputer Vision and Image Understanding10.1016/j.cviu.2024.104274251(104274)Online publication date: Feb-2025
https://doi.org/10.1016/j.cviu.2024.104274
Lan FChen CCai JKankanhalli MPrabhakaran BBoll SSubramanian RZheng LSingh VCesar PXie LXu D(2024)Understanding and Tackling Scattering and Reflective Flare for Mobile Camera SystemsProceedings of the 32nd ACM International Conference on Multimedia10.1145/3664647.3681306(8768-8776)Online publication date: 28-Oct-2024
https://dl.acm.org/doi/10.1145/3664647.3681306
Dai YLi CZhou SFeng RLuo YLoy C(2024)Flare7K++: Mixing Synthetic and Real Datasets for Nighttime Flare Removal and BeyondIEEE Transactions on Pattern Analysis and Machine Intelligence10.1109/TPAMI.2024.340682146:11(7041-7055)Online publication date: 1-Nov-2024
https://dl.acm.org/doi/10.1109/TPAMI.2024.3406821
Liu YHuang GQi WLi Y(2024)A flare removal network for night vision perception: Resistant to the interference of complex lightIET Image Processing10.1049/ipr2.1316518:12(3192-3205)Online publication date: 26-Jun-2024
https://doi.org/10.1049/ipr2.13165
Zhao CBeams RDahal EBadano A(2024)Spatially dependent veiling glare degrades image quality in medical extended realityVirtual Reality10.1007/s10055-023-00893-x28:1Online publication date: 5-Jan-2024
https://dl.acm.org/doi/10.1007/s10055-023-00893-x
Jin ZFeng HXu ZChen Y(2023)A Data Generation Method for Image Flare Removal Based on Similarity and Centrosymmetric EffectPhotonics10.3390/photonics1010107210:10(1072)Online publication date: 22-Sep-2023
https://doi.org/10.3390/photonics10101072
Kang SRyu KJeong MJeong SPark K(2023)CAM-FRN: Class Attention Map-Based Flare Removal Network in Frontal-Viewing Camera Images of VehiclesMathematics10.3390/math1117364411:17(3644)Online publication date: 23-Aug-2023
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Zou GBai HYuan YDeng TYin ZWei J(2023)Research on Flare Removal Network Based on Channel Attention Mechanism and Depthwise Over-parameterized ConvolutionProceedings of the 4th International Conference on Artificial Intelligence and Computer Engineering10.1145/3652628.3652781(919-926)Online publication date: 17-Nov-2023
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